Published on: 2024-08-02 20:02:53
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IBM Data Engineering Professional Certificate is a set of specialization courses that will help you get a new job in the field of data engineering. By taking this course, you will master the skills of working with SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data and Spark, along with the skills needed for your job.
Publisher: Coursera
Instructors: Rav Ahuja , Priya Kapoor , Joseph Santarcangelo , Ramesh Sannareddy , Sandip Saha Joy , Lin Joyner , Rose Malcolm , Hima Vasudevan , Steve Ryan , Karthik Muthuraman , Aije Egwaikhide , Romeo Kienzler , Yan Luo , Jeff Grossman and Sabr
Language: English
Level of education: Advanced
Number of courses: 13
Duration: 5 months at 10 hours a week
This Professional Certificate is open to anyone with any job and academic background. It pre-reqs basic IT literacy and knowledge of IT infrastructure and familiarity working with Windows, Linux or MacOS. No prior computer programming experience is necessary, but is an asset, as is high school math.
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Subtitle: English, Persian (incomplete)
Quality: 720p
This collection includes 13 different courses.
The Introduction to Data Engineering course: 2023/8 version compared to 2022/3 has a total of 24 documents (quizzes, projects, highlights, etc.) and 1 video with total duration of 1 minute.
Python for Data Science, AI & Development course: 2023/8 version compared to 2022/3 has a total of 3 documents (quizzes, projects, highlights, etc.) and 6 videos with total duration of 26 minutes.
Python Project for Data Engineering course: Version 8/2023 compared to 2022/3, a total of 4 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.
Introduction to Relational Databases (RDBMS) course: 2023/8 version compared to 2022/3, a total of 17 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.
The Databases and SQL for Data Science with Python course: 2023/8 version compared to 2022/3 has a total of 4 documents (quizzes, projects, highlights, etc.) and 3 videos with total duration of 9 minutes, and also 6 chapters It has changed to 4 chapters.
Hands-on Introduction to Linux Commands and Shell Scripting course: 2023/8 version compared to 2022/3 has a total of 12 documents (quizzes, projects, highlights, etc.) and 6 videos with total duration of 40 minutes, and also from 3 chapters have been changed to 4 chapters.
Relational Database Administration (DBA) course: 2023/8 version compared to 2022/3, a total of 14 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.
ETL and Data Pipelines with Shell, Airflow and Kafka course: 2023/8 version compared to 2022/3, a total of 7 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.
Getting Started with Data Warehousing and BI Analytics course: 8/2023 version compared to 2022/3 a total of 8 documents (quizzes, projects, highlights, etc.) and 1 video with total duration of 9 minutes have been added.
Introduction to NoSQL Databases course: 2023/8 version compared to 2022/3, a total of 18 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.
Introduction to Big Data with Spark and Hadoop course: 2023/8 version compared to 2022/3, a total of 50 documents (quizzes, projects, highlights, etc.) have increased and the videos have not changed.
Data Engineering and Machine Learning using Spark course: 2023/8 version compared to 2022/3, a total of 5 documents (quizzes, projects, highlights, etc.) have been added and the videos have not changed.
Data Engineering Capstone Project course: 2023/8 version compared to 2022/3, a total of 23 documents (quizzes, projects, highlights, etc.) and 8 videos with total duration of 13 minutes have been added, and also from 2 chapters have been changed to 7 chapters.
The 2024/5 version compared to 2023/8 has increased the number of 15 lessons and the duration of 1 hour 40 minutes
Version 2024/8 vs. 2024/5: Added courses 10, 15, 16 and course 9 has changed
Introduction to Data Engineering
Python for Data Science, AI & Development
Python Project for Data Engineering
Introduction to Relational Databases (RDBMS)
Databases and SQL for Data Science with Python
Hands-on Introduction to Linux Commands and Shell Scripting
Relational Database Administration (DBA)
ETL and Data Pipelines with Shell, Airflow and Kafka
Data Warehouse Fundamentals
BI Dashboards with IBM Cognos Analytics and Google Looker
Introduction to NoSQL Databases
Introduction to Big Data with Spark and Hadoop
Machine Learning with Apache Spark
Data Engineering Capstone Project
Generative AI: Elevate your Data Engineering Career
Data Engineering Career Guide and Interview Preparation
3.65 GB
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